14.3.2 Class BaseVariable¶

mosek.fusion.BaseVariable¶

An abstract variable object. This is class provides various default implementations of methods in Variable.

Members:

BaseVariable.antidiag – Return the antidiagonal of a square variable matrix.

BaseVariable.asExpr – Create an expression corresponding to the variable object.

BaseVariable.diag – Return the diagonal of a square variable matrix.

BaseVariable.dual – Get the dual solution value of the variable.

BaseVariable.eval – Evaluate the expression and push the result onto the work stack.

BaseVariable.fromTril – Convert from a trilinear representation into a square variable.

BaseVariable.getDim – Return the d’th dimension in the expression.

BaseVariable.getModel – Get the associated model.

BaseVariable.getND – Get the number of dimensions in the variable shape.

BaseVariable.getShape – Get the variable shape.

BaseVariable.getSize – Get the total number of elements in the variable.

BaseVariable.index ([]) – Return a variable slice of size 1 corresponding to a single element in the variable object..

BaseVariable.level – Get the primal solution value of the variable.

BaseVariable.makeContinuous – Drop integrality constraints on the variable, if any.

BaseVariable.makeInteger – Apply integrality constraints on the variable. Has no effect on elements of semidefinite matrix variables.

BaseVariable.pick ([]) – Create a one-dimensional variable by picking a list of indexes from this variable.

BaseVariable.remove – Remove the variable from the model.

BaseVariable.reshape – Reshape the variable. The new shape must have the same total size as the current.

BaseVariable.setLevel – Input solution values for this variable

BaseVariable.slice ([]) – Create a slice variable by picking a range of indexes for each variable dimension.

BaseVariable.toString – Create a string representation of the variable.

BaseVariable.transpose – Transpose the variable.

BaseVariable.tril – Convert from a square variable to a trilinear representation.

Implemented by:

ModelVariable, SliceVariable

BaseVariable.antidiag¶

antidiag() -> Variable
antidiag(int index) -> Variable

Return the antidiagonal of a square variable matrix.

Parameters:: index (int) – Index of the anti-diagonal
Return:: (Variable)

BaseVariable.asExpr¶

asExpr() -> Expression

Create an Expression object corresponding to \(I\cdot V\), where \(I\) is the identity matrix and \(V\) is this variable.

Return:: (Expression)

BaseVariable.diag¶

diag() -> Variable
diag(int index) -> Variable

Return the diagonal of a square variable matrix.

Parameters:: index (int) – Index of the anti-diagonal
Return:: (Variable)

BaseVariable.dual¶

dual() -> float[]

Get the dual solution value of the variable as an array. When the selected slice is multi-dimensional, this corresponds to the flattened slice of solution values.

Return:: (float[])

BaseVariable.eval¶

eval(WorkStack rs, WorkStack ws, WorkStack xs)

Evaluate the expression and push the result onto the rs work stack.

Parameters:

rs (WorkStack) – The stack where the result of the evaluation is stored.
ws (WorkStack) – The stack used by evaluation to perform intermediate computations. It will be returned in the same state as when the function is called.
xs (WorkStack) – An auxiliary stack.

BaseVariable.fromTril¶

fromTril(int d) -> Variable
fromTril(int dim0, int d) -> Variable

Convert from a trilinear representation into a square variable.

Parameters:

d (int) – Dimension of the square variable.
dim0 (int) – Index of the trilinear variable slices in a multi-dimensional representation.

Return:

(Variable)

BaseVariable.getDim¶

getDim(int d) -> int

Return the d’th dimension in the expression.

Parameters:: d (int)
Return:: (int)

BaseVariable.getModel¶

getModel() -> Model

Get the associated model.

Return:: (Model)

BaseVariable.getND¶

getND() -> int

Get the number of dimensions in the variable shape.

Return:: (int)

BaseVariable.getShape¶

getShape() -> int[]

Get the variable shape.

Return:: (int[])

BaseVariable.getSize¶

getSize() -> int

Get the total number of elements in the variable.

Return:: (int)

BaseVariable.index ([])¶

index(int index) -> Variable
index(int[] index) -> Variable
index(int i0, int i1) -> Variable
index(int i0, int i1, int i2) -> Variable

Return a variable slice of size 1 corresponding to a single element in the variable object..

The Python operator/property [] can also be used for this purpose. See Sec. 14.2 (Pythonic extensions) for details.

Parameters:

index (int)
index (int[])
i0 (int) – Index in the first dimension of the element requested.
i1 (int) – Index in the second dimension of the element requested.
i2 (int) – Index in the second dimension of the element requested.

Return:

(Variable)

BaseVariable.level¶

level() -> float[]

Get the primal solution value of the variable as an array. When the selected slice is multi-dimensional, this corresponds to the flattened slice of solution values.

Return:: (float[])

BaseVariable.makeContinuous¶

makeContinuous()

Drop integrality constraints on the variable, if any.

BaseVariable.makeInteger¶

makeInteger()

Apply integrality constraints on the variable. Has no effect on elements of semidefinite matrix variables.

BaseVariable.pick ([])¶

pick(int[] idxs) -> Variable
pick(int[][] midxs) -> Variable
pick(int[] i0, int[] i1) -> Variable
pick(int[] i0, int[] i1, int[] i2) -> Variable

Create a one-dimensional variable by picking a list of indexes from this variable.

The Python operator/property [] can also be used for this purpose. See Sec. 14.2 (Pythonic extensions) for details.

Parameters:

idxs (int[]) – Indexes of the elements requested.
midxs (int[][]) – A sequence of multi-dimensional indexes of the elements requested.
i0 (int[]) – Index along the first dimension.
i1 (int[]) – Index along the second dimension.
i2 (int[]) – Index along the third dimension.

Return:

(Variable)

BaseVariable.remove¶

remove()

Remove the variable from the model and remove it from any constraints where it appears. Using the variable object after this method has been called results in undefined behavior.

BaseVariable.reshape¶

reshape(int[] shape) -> Variable
reshape(int dim0) -> Variable
reshape(int dim0, int dim1) -> Variable
reshape(int dim0, int dim1, int dim2) -> Variable

Reshape the variable. The new shape must have the same total size as the current.

Parameters:

shape (int[]) – The new shape.
dim0 (int) – First dimension of new shape
dim1 (int) – Second dimension of new shape
dim2 (int) – Third dimension of new shape

Return:

(Variable)

BaseVariable.setLevel¶

setLevel(float[] v)

Set values for an initial solution for this variable. Note that these values are buffered until the solver is called; they are not available through the level() methods.

Parameters:: v (float[]) – An array of values to be assigned to the variable.

BaseVariable.slice ([])¶

slice(int first, int last) -> Variable
slice(int[] first, int[] last) -> Variable

Create a slice variable by picking a range of indexes for each variable dimension.

The Python operator/property [] can also be used for this purpose. See Sec. 14.2 (Pythonic extensions) for details.

Parameters:

first (int) – The index from which the slice begins.
first (int[]) – The index from which the slice begins.
last (int) – The index after the last element of the slice.
last (int[]) – The index after the last element of the slice.

Return:

(Variable)

BaseVariable.toString¶

toString() -> str

Create a string representation of the variable.

Return:: (str)

BaseVariable.transpose¶

transpose() -> Variable

Return the transpose of the current variable. The variable must have at most two dimensions.

Return:: (Variable)

BaseVariable.tril¶

tril() -> Variable
tril(int dim1, int dim2) -> Variable

Convert from a square variable to a trilinear representation.

Parameters:

dim1 (int) – First dimension in the current shape containing the square variables.
dim2 (int) – Second dimension in the current shape containing the square variables.

Return:

(Variable)

14.3.2 Class BaseVariable¶

Table of Contents

Download PDF

Modeling Cookbook

Cheatsheet